Edge database management of the network data plane

ABSTRACT

Novel tools and techniques for network data plane management are provided. A system includes a host machine that includes a database, processor, and non-transitory computer readable media comprising instructions executable by the processor to obtain, via the database, a network configuration, spawn a container according to the network configuration, wherein the container is configured, based on the network configuration, to be coupled to a network overlay via a network interface, receive, via the network interface, incoming data associated with the container, the incoming data having attached one or more attached network data attributes, and identify, via the database, the attached one or more network data attributes attached to the incoming data as one or more network data attributes of the network data model.

COPYRIGHT STATEMENT

A portion of the disclosure of this patent document contains materialthat is subject to copyright protection. The copyright owner has noobjection to the facsimile reproduction by anyone of the patent documentor the patent disclosure as it appears in the Patent and TrademarkOffice patent file or records, but otherwise reserves all copyrightrights whatsoever.

FIELD

The present disclosure relates, in general, to network access systemsand architecture, and more particularly to network access architecturesfor over the top network access solutions on existing infrastructure.

BACKGROUND

The network data plane is evolving. There are numerous InternetEngineering Tasks Force (IETF) attempts to define attributes to refinethe method by which the network data plane manages (e.g., forwards)frames and packets. Existing physical networking hardware typically usespre-programmed Application Specific Integrated Circuits (ASICs), whichcannot make use of any attribute extensions.

Conventional approaches have turned to software defined network (SDN)data planes to address the need for extending the network data plane'sability to manage these attributes. These standard approaches rely on akey value store, which is essentially a two-dimensional data storelimited in its ability to handle complex attributes.

Accordingly, tools and techniques for network data plane management viaan edge database are provided.

BRIEF DESCRIPTION OF THE DRAWINGS

A further understanding of the nature and advantages of the embodimentsmay be realized by reference to the remaining portions of thespecification and the drawings, in which like reference numerals areused to refer to similar components. In some instances, a sub-label isassociated with a reference numeral to denote one of multiple similarcomponents. When reference is made to a reference numeral withoutspecification to an existing sub-label, it is intended to refer to allsuch multiple similar components.

FIG. 1 is a schematic block diagram of a system for network data planemanagement, in accordance with various embodiments;

FIG. 2 is a schematic block diagram of a system for containercommunication in the same address space, in accordance with variousembodiments;

FIG. 3 is a flow diagram of a method for network data plane management,in accordance with various embodiments;

FIG. 4 is a schematic block diagram of a computer system for networkdata plane management, in accordance with various embodiments; and

FIG. 5 is a schematic block diagram illustrating system of networkedcomputer devices, in accordance with various embodiments.

DETAILED DESCRIPTION OF CERTAIN EMBODIMENTS

The following detailed description illustrates a few exemplaryembodiments in further detail to enable one of skill in the art topractice such embodiments. The described examples are provided forillustrative purposes and are not intended to limit the scope of theinvention.

In the following description, for the purposes of explanation, numerousspecific details are set forth in order to provide a thoroughunderstanding of the described embodiments. It will be apparent to oneskilled in the art, however, that other embodiments of the present maybe practiced without some of these specific details. In other instances,certain structures and devices are shown in block diagram form. Severalembodiments are described herein, and while various features areascribed to different embodiments, it should be appreciated that thefeatures described with respect to one embodiment may be incorporatedwith other embodiments as well. By the same token, however, no singlefeature or features of any described embodiment should be consideredessential to every embodiment of the invention, as other embodiments ofthe invention may omit such features.

Unless otherwise indicated, all numbers used herein to expressquantities, dimensions, and so forth used should be understood as beingmodified in all instances by the term “about.” In this application, theuse of the singular includes the plural unless specifically statedotherwise, and use of the terms “and” and “or” means “and/or” unlessotherwise indicated. Moreover, the use of the term “including,” as wellas other forms, such as “includes” and “included,” should be considerednon-exclusive. Also, terms such as “element” or “component” encompassboth elements and components comprising one unit and elements andcomponents that comprise more than one unit, unless specifically statedotherwise.

The various embodiments include, without limitation, methods, systems,and/or software products. Merely by way of example, a method maycomprise one or more procedures, any or all of which are executed by acomputer system. Correspondingly, an embodiment may provide a computersystem configured with instructions to perform one or more procedures inaccordance with methods provided by various other embodiments.Similarly, a computer program may comprise a set of instructions thatare executable by a computer system (and/or a processor therein) toperform such operations. In many cases, such software programs areencoded on physical, tangible, and/or non-transitory computer readablemedia (such as, to name but a few examples, optical media, magneticmedia, and/or the like).

Various modifications and additions can be made to the embodimentsdiscussed without departing from the scope of the invention. Forexample, while the embodiments described above refer to specificfeatures, the scope of this invention also includes embodiments havingdifferent combination of features and embodiments that do not includeall the above described features.

In an aspect, a system for network data plane management is provided.The system includes a host machine configured to run a containerorchestrator. The host machine may further include a database, aprocessor, and non-transitory computer readable media comprisinginstructions executable by the processor to perform various functions.The database may include a multi-dimensional data store configured todefine a network data model, and further include a networkconfiguration. The instructions may be executable by the processor toobtain, via the database, the network configuration; spawn a containeraccording to the network configuration, wherein the container isconfigured to be coupled to a network overlay via a network interface.The instructions may further be executable by the processor to receive,via the network interface, incoming data associated with the container,the incoming data having attached one or more attached network dataattributes, and identifying, via the database, the attached one or morenetwork data attributes attached to the incoming data as one or morenetwork data attributes of the network data model.

In another aspect, an apparatus for network data plane management isprovided. The apparatus includes a processor and non-transitory computerreadable media comprising instructions executable by the processor toobtain, via a database, a network configuration, and spawn a containeraccording to the network configuration, wherein the container isconfigured, based on the network configuration, to be coupled to anetwork overlay via a network interface. The instructions may further beexecutable to receive, via the network interface, incoming dataassociated with the container, the incoming data having attached one ormore attached network data attributes, and identify, via the database,the attached one or more network data attributes attached to theincoming data as one or more network data attributes of the network datamodel, and wherein the database comprises a multi-dimensional data storeconfigured to define a network data model, wherein the network datamodel is configured to support one or more network data attributes.

In a further aspect, a method for network data plane management isprovided. The method includes defining, at an edge database, a networkdata model configured to support one or more network data attributes,providing, via the edge database, a network configuration, andobtaining, via an orchestrator, the network configuration from the edgedatabase. The method continues by spawning, via the orchestrator, acontainer according to the network configuration, wherein spawning thecontainer further comprises coupling the container, based on the networkconfiguration, to a network overlay via a network interface, receiving,via the network interface, incoming data associated with the container,the incoming data having attached one or more attached network dataattributes, and identifying, via the database, the attached one or morenetwork data attributes attached to the incoming data as one or morenetwork data attributes of the network data model.

FIG. 1 is a schematic block diagram of a system for network data planemanagement. In various embodiments, the system 100 includes anorchestrator 105, further including a container network interface (CNI)110, data plane management module 115, one or more applicationprogramming interfaces (API) 50, database 55, one or more containers130, packet processing module 135, operating system (OS) kernel 140, andone or more ethernet adapters 145 a-145 n (collectively “ethernetadapters 145”). In various embodiments, the data plane management module115 may include the one or more APIs and the database 55. It should benoted that the various components of the system 100 are schematicallyillustrated in FIG. 1 , and that modifications to the system 100 may bepossible in accordance with various embodiments.

In various embodiments, the orchestrator 105 may be a Kubernetesorchestrator configured to run on a host machine, such as a physical orvirtual machine, and may also commonly be referred to as a node. Inother embodiments, the orchestrator 105 may include different types oforchestrators, such as, without limitation, Mesos, Docker Swarm, orOpenshift. In some embodiments, the host machine may be configured torun Linux or other suitable OS as known to those in the art.Accordingly, in one example, the underlying host machine for theorchestrator 105 may be a Linux host machine, configured to run aKubernetes orchestrator.

The orchestrator 105 may include a CNI 110. The CNI 110 may be theinterface between a container runtime and network implementation.Accordingly, in some embodiments, the CNI 110 may be an applicationprogramming interface (API) between container runtimes and networkplugins. Thus, as will be appreciated by those skilled in the art, thecontainer runtime is a network namespace, and the network plugin is theimplementation that follows the specification of the CNI 110 thatconfigures the container runtime to the network implementation.Typically, a network plugin is an executable, which when invoked, willread in, for example, a JavaScript Object Notation (JSON) config file toobtain required parameters to configure a container with the network.For example, the JSON config may contain an entry for a “net” plugin,configured to create interfaces for a container 130 to be coupled to anetwork, and an IP address management (IPAM) entry for allocating aninternet protocol (IP) address to the container and/or containerinterface. In contrast, in some embodiments, the orchestrator may beconfigured to execute a plugin or otherwise interface with the dataplane management module 115 to retrieve a configuration file from thedatabase 55 for configuring a container to, for example, a persistednetwork configuration stored on the database 55.

The data plane management module 115 may include specific APIs 50 anddatabase 55 configured to provide data plane management functions. Insome embodiments, the database 55 may include, without limitation, aSQL, no-SQL, or hybrid SQL/no-SQL database, or other suitable database.Specifically, the data plane management module 115 may be configured tomanage packet and frame attributes, utilize memory more efficiently,support an ability to re-factor (add, delete, change) attributes withinthe network data model, increase bandwidth, and increase frame andpacket processing rates. As previously described, the IETF securityautomation and continuous monitoring (SACM) architecture proposesattribute extensions for data management and packet forwarding on thedata plane. Typically, this has been handled by use of a key valuestore, such as a hash table or dictionary. In contrast with thetraditional approach, the data plane management module 115 is configuredto utilize database 55, which may support multi-dimensional data stores,such as a multi-dimensional array. For example, the database mayinclude, without limitation, a SQL, no-SQL, or hybrid SQL/no-SQLdatabase such as a HarperDB. For example, a hybrid database may becapable of blending both document and SQL structures/objects. In variousembodiments, the multi-dimensional may include one or more layers,including, without limitation, a layer for a forwarding information base(FIB), and a prioritization layer, and/or other layers appropriatelyconfigured to manage the one or more additional attributes.

Specifically, the data plane management module 115 may be configured toaddress the implications of the Yet Another Next Generation (YANG) andNetwork Configuration Protocol (NETCONF) model and would provide theability to handle the additional attributes added to the network datamodel. Accordingly, in various embodiments, the data plane managementmodule 115 may be configured to enable existing network hardware and/orsoftware to facilitate data plane management under the proposed networkdata model. As previously described, traditional key value storepresents a bottleneck to flexibility, scalability, and performance.

Accordingly, in various embodiments, the data plane management module115, and more specifically, the database 55 may be configured to definea network data model including one or more network data attributes. Theone or more network data attributes may include, without limitation,quality of service, security, routing, switching, proof of origin, proofof delivery, and packet and frame behavior monitoring (e.g., predictiveanalytics support). In some further embodiments, the data planemanagement module 115 may further be configured to allow networkattributes to be created, added, removed, or otherwise changed by auser, and/or prioritized dynamically. Accordingly, the data planemanagement module 115 may further include data plane APIs 50 configuredto allow various data plane management functions to be invoked, such as,for example, dynamic attribute prioritization.

The one or more containers 130 may be spawned by the orchestrator, suchas a Kubernetes engine, and/or, in some embodiments, by a containerruntime, such as Docker. In various embodiments, the packet processingmodule 135 may be configured to process packets to and from the one ormore containers 130, and according to the data plane management module115. The OS kernel 140 may provide an interface to access the resourcesof the underlying system on which the orchestrator 105 may be running.The one or more ethernet adapters 145 a-145 n may be configuredaccording to respective network overlays associated with each of the oneor more containers 130 and/or according to the CNI 110. In someembodiments, containers of the one or more containers 130 may beconfigured with ethernet adapters, which may map to the one or moreethernet adapters 145 a-145 n. Thus, in various embodiments, the one ormore ethernet adapters 145 a-145 n may be physical ethernet adapters,which may be shared or otherwise allocated between the one or morecontainers 130.

In various embodiments, the orchestrator 105 may deploy one or morecontainer instances of the one or more containers 130. The CNI 110 maybe configured to configure a container instance according to a networkconfiguration. For example, CNI 110 may be configured to configure eachcontainer instance with a respective virtual network adapter, which maybe coupled to a virtual switch. Thus, the CNI 110 may attach a containerinstance to a respective virtual network adapter. In variousembodiments, the CNI 110 may further be configured to map namespaces tospecific CNI network configurations. In some embodiments, binarieswithin individual container instances may themselves be associated witha network configuration specific to the container. In some furtherembodiments, a network overlay may be persisted within a container ofthe one or more containers 130 and/or, alternatively, for all containersspawned by the orchestrator 105. The data plane management module 115may, in turn, be configured to define how the data plane is managed byrespective containers of the one or more containers 130 and/or via thepacket processing module 135. The data plane management module 115 maybe configured to support network data attributes as described above. Forexample, the packet processing module 135 may be configured to managepackets received and/or transmitted via respective one or more ethernetadapters 145 a-145 n. The packets may include attribute information,which may be managed via the data plane management module 115, such asthrough the database 55. As previously described, the data planemanagement module may further define packet and/or network dataattribute prioritization for data communicated to and from the one ormore containers 130.

FIG. 2 is a schematic block diagram of a system 200 for containercommunication in the same address space, in accordance with variousembodiments. The system 200 includes Host A 205 a including a respectiveKubernetes Engine 210 a, database plugin 215 a, CNI 220 a, container pod225 a, one or more containers 230 a-230 c, layers 235 a-235 c, virtualswitch (vSwitch) 240 a, and Ethernet adapters 245 a-245 d. The system200 further includes Host B 205 b, including respective KubernetesEngine 210 b, database plugin 215 b, CNI 220 b, container pod 225 b,containers 230 d-230 f, layers 235 d-235 f, vSwitch 240 b, and ethernetadapters 245 e-245 h. It should be noted that the various components ofthe system 200 are schematically illustrated in FIG. 2 , and thatmodifications to the system 200 may be possible in accordance withvarious embodiments.

In various embodiments, Host A 205 a may be a machine (physical orvirtual), configured to support the Kubernetes engine 210 a. Host B 205b may similarly be a machine (physical or virtual), configured to runthe Kubernetes engine 210 b. In some embodiments, the Host A 205 a andHost B 205 b may be executed on separate physical machines and coupledvia the physical switch 250. In further embodiments, the Host A 205 aand Host B 205 b may, alternatively, be separate virtual machinesrunning on a shared physical machine.

The Host A 205 a may be configured to run Kubernetes engine 210 a. TheKubernetes engine 210 a may be configured to spawn a pod 225 a ofcontainers. For example, the pod 225 a may include containers 230 a-230c. Similarly, Host B 205 b may be configured to run Kubernetes engine210 b, which may be configured to spawn a respective pod 225 b ofcontainers. The pod 225 b may include containers 230 d-230 f.

Each of the containers 230 a-230 f may be spawned as layers. Forexample, the first container 230 a may be spawned as a first set oflayers 235 a, the second container 230 b may be spawned as a second setof layers 235 b, continuing in this manner until the sixth container 230f, which may be spawned as a sixth set of layers 235 f. Accordingly,containers 230 a-230 f may be spawned as layers 235 a-235 f withdiscrete memory mapping and predictable addressing space. The bottomlayers may be immutable, while the top layer is dynamic. One immutablelayer may be configured by the CNI 220 a for a specific network overlay.

As previously described, addressing space in this layer may be brokeninto a representation of the vSwitch 240 a plane. Rather thancontrolling the configuration of the networking layer via staticenvironmental variables, read in from a high latency filesystem, datamovement may be orchestrated via the use of a low latency datastructure, as previously described. Use of an extensible data structureallows a wider virtual switch plane to be managed. For example, theKubernetes engine 210 a may be configured to communicate data betweencontainers 230 a-230 c within the same pod 225 a by exchanging thememory address of source data with the target/destination. In oneexample, the Kubernetes engine 210 a may be configured to pass a doubleword memory pointer associated with the memory address of the sourcedata to the target container 230 a-230 c. Thus, data and resourceswithin the same address space, or alternatively, in the same name space,may be passed between intra-pod containers 230 a-230 c. This is incontrast with the traditional approach employing virtual bridges andvirtual ethernet interfaces and/or via allocated ports on localhost.

Thus, containers 230 a-230 f may be coupled to respective vSwitch 240 a,240 b, and further to respective network interfaces (such as respectiveEthernet adapters 245 a-245 h) for inter-pod or external communications.For example, Host A 205 a may be coupled, via the one or more ethernetadapters 245 a-245 d, to the physical switch 250, which may further becoupled to respective one or more ethernet adapters 245 e-245 h of theHost B 205 b. Thus, inter-pod communications, on physically separatehosts, may utilize respective vSwitches 240 a, 240 b to managecommunications to/from the respective containers 230 a-230 f.

In various embodiments, the database plugin 215 a, 215 b may further beconfigured to allow the Kubernetes engine 210 a, 210 b to implement dataplane management as previously described. Specifically, the databaseplugin 215 a, 215 b may be configured to allow the Kubernetes engine 210a, 210 b appropriately manage the network data plane. For example, aspreviously described, in various embodiments, the vSwitch 240 a, 240 bmay be configured, via the CNI 220 a, to appropriately manage one ormore network data attributes. In some embodiments, the database plugin215 a, 215 b may be configured provide an interface with a database,such as a SQL, no-SQL, or hybrid SQL/no-SQL database. For example, ahybrid database may be capable of blending both document and SQLstructures/objects. One such database may be a HarperDB, or other suchdatabase as known to those skilled in the art.

The Kubernetes engine 210 a, 210 b, or specific container instances 230a-230 f may be configured to utilize a network data model stored on thedatabase. In some further embodiments, the Kubernetes engine 210 a, 210b, or specific container instance 230 a-230 f may be configured tore-factor (add, delete, change) network data attributes within thenetwork data model. In some embodiments, the one or more network dataattributes may include, without limitation, quality of service,security, routing, switching, proof of origin, proof of delivery, andpacket and frame behavior monitoring (e.g., predictive analyticssupport).

In various embodiments, as previously described, the database may beconfigured to support multi-dimensional data stores, such as amulti-dimensional array. In various embodiments, the multi-dimensionalmay include one or more layers, including, without limitation, a layerfor a forwarding information base (FIB), and a prioritization layer,and/or other layers appropriately configured to manage the one or moreadditional attributes. Thus, the database may, in some embodiments,allow a network configuration to be persisted. The network configurationmay be implemented by the Kubernetes engine 210 a, 210 b, and containerinstances 230 a-230 f may be configured to be coupled to the persistednetwork configuration (e.g., via the CNI 220 a).

FIG. 3 is a flow diagram of a method 300 for network data planemanagement, in accordance with various embodiments. The method 300begins, at optional block 305, by providing an edge database. Aspreviously described, the edge database may be a database configured tosupport multi-dimensional data stores. In some embodiments, the edgedatabase may be a database that is configured to be deployed on an edgedevice. In contrast with conventional databases, edge databases aredatabases specifically deployed locally on an edge device.

The method 300 continues, at optional block 310, by providing a networkdata model via the edge database. In various embodiments, the networkdata model may define one or more network data attributes that may beattached to data packets and/or frames and used for data planemanagement. The one or more network data attributes may include, withoutlimitation, quality of service, security, routing, switching, proof oforigin, proof of delivery, and packet and frame behavior monitoring(e.g., predictive analytics support). In some embodiments, the edgedatabase may be configured to allow additional network attributes may beadded and/or removed from the network data model. Moreover, the networkdata model may be made available to one or more container orchestrators,such as a Kubernetes engine, running on one or more host machines aspreviously described.

The method 300 continues, at block 315, by obtaining a networkconfiguration. In some embodiments, this may include retrieving anetwork configuration file. In some examples, the network configurationfile may read in by a CNI from the edge database. The networkconfiguration may be configured to define a network overlay for one ormore containers and/or one or more pods. Accordingly, at block 320, themethod 300 further includes spawning a container according to thenetwork configuration file.

At decision block 325, it is determined whether data is transmitted bythe container or received by the container. If the data is receiveddata, the method 300 continues, at block 335, by identifying one or morenetwork data attributes attached to the data, via the network data modelon the database. As previously described, the container and database mayboth be deployed on an edge device, and therefore, in some embodiments,the database may be an edge database. If the data is transmitted data,the method 300 continues, at block 330, by attaching one or more networkdata attributes to the data, as determined based on the container and/orhost device sending the data, before the data is transmitted.

At decision block 340, it is determined whether the communication ofdata is intrapod communication. In various embodiments, the Kubernetesengine may configure the containers to be coupled to a network overlay,including packet processing logic and elements such as a vSwitch.Accordingly, the packet processing logic and/or specific virtual networkelements may be configured to determine whether communication is betweencontainers of the same pod (e.g., intrapod), and accordingly share thesame name space and/or addressing space. If it is determined that thecommunications are intrapod communications, data transmitted or receivedfrom other containers on the same pod may be communicated, at block 345,by transmitting and/or receiving a memory pointer associated with thedata to be communicated. If it is determined that communications are notintrapod, and instead cross pods and/or hosts, data may be transmittedvia the appropriate network interface associated with the containertransmitting and/or receiving the data.

FIG. 4 is a schematic block diagram of a computer system 400 for networkdata plane management, in accordance with various embodiments. FIG. 4provides a schematic illustration of one embodiment of a computer system400, such as a host device, container node, or edge device, which mayperform the methods provided by various other embodiments, as describedherein. It should be noted that FIG. 4 only provides a generalizedillustration of various components, of which one or more of each may beutilized as appropriate. FIG. 4 , therefore, broadly illustrates howindividual system elements may be implemented in a relatively separatedor relatively more integrated manner. The computer system 400 includesmultiple hardware elements that may be electrically coupled via a bus405 (or may otherwise be in communication, as appropriate). The hardwareelements may include one or more processors 410, including, withoutlimitation, one or more general-purpose processors and/or one or morespecial-purpose processors (such as microprocessors, digital signalprocessing chips, graphics acceleration processors, andmicrocontrollers); one or more input devices 415, which include, withoutlimitation, a mouse, a keyboard, one or more sensors, and/or the like;and one or more output devices 420, which can include, withoutlimitation, a display device, and/or the like.

The computer system 400 may further include (and/or be in communicationwith) one or more storage devices 425, which can comprise, withoutlimitation, local and/or network accessible storage, and/or can include,without limitation, a disk drive, a drive array, an optical storagedevice, solid-state storage device such as a random-access memory(“RAM”) and/or a read-only memory (“ROM”), which can be programmable,flash-updateable, and/or the like. Such storage devices may beconfigured to implement any appropriate data stores, including, withoutlimitation, various file systems, database structures, and/or the like.

The computer system 400 may also include a communications subsystem 430,which may include, without limitation, a modem, a network card (wirelessor wired), an IR communication device, a wireless communication deviceand/or chipset (such as a Bluetooth™ device, an 802.11 device, a WiFidevice, a WiMax device, a WWAN device, a low-power (LP) wireless device,a Z-Wave device, a ZigBee device, cellular communication facilities,etc.). The communications subsystem 430 may permit data to be exchangedwith a network (such as the network described below, to name oneexample), with other computer or hardware systems, between data centersor different cloud platforms, and/or with any other devices describedherein. In many embodiments, the computer system 400 further comprises aworking memory 435, which can include a RAM or ROM device, as describedabove.

The computer system 400 also may comprise software elements, shown asbeing currently located within the working memory 435, including anoperating system 440, device drivers, executable libraries, and/or othercode, such as one or more application programs 445, which may comprisecomputer programs provided by various embodiments, and/or may bedesigned to implement methods, and/or configure systems, provided byother embodiments, as described herein. Merely by way of example, one ormore procedures described with respect to the method(s) discussed abovemay be implemented as code and/or instructions executable by a computer(and/or a processor within a computer); in an aspect, then, such codeand/or instructions can be used to configure and/or adapt a generalpurpose computer (or other device) to perform one or more operations inaccordance with the described methods.

A set of these instructions and/or code may be encoded and/or stored ona non-transitory computer readable storage medium, such as the storagedevice(s) 425 described above. In some cases, the storage medium may beincorporated within a computer system, such as the system 400. In otherembodiments, the storage medium may be separate from a computer system(i.e., a removable medium, such as a compact disc, etc.), and/orprovided in an installation package, such that the storage medium can beused to program, configure, and/or adapt a general purpose computer withthe instructions/code stored thereon. These instructions may take theform of executable code, which is executable by the computer system 400and/or may take the form of source and/or installable code, which, uponcompilation and/or installation on the computer system 400 (e.g., usingany of a variety of generally available compilers, installationprograms, compression/decompression utilities, etc.) then takes the formof executable code.

It will be apparent to those skilled in the art that substantialvariations may be made in accordance with specific requirements. Forexample, customized hardware (such as programmable logic controllers,single board computers, FPGAs, ASICs, and SoCs) may also be used, and/orparticular elements may be implemented in hardware, software (includingportable software, such as applets, etc.), or both. Further, connectionto other computing devices such as network input/output devices may beemployed.

As mentioned above, in one aspect, some embodiments may employ acomputer or hardware system (such as the computer system 400) to performmethods in accordance with various embodiments of the invention.According to a set of embodiments, some or all of the procedures of suchmethods are performed by the computer system 400 in response toprocessor 410 executing one or more sequences of one or moreinstructions (which may be incorporated into the operating system 440and/or other code, such as an application program 445 or firmware)contained in the working memory 435. Such instructions may be read intothe working memory 435 from another computer readable medium, such asone or more of the storage device(s) 425. Merely by way of example,execution of the sequences of instructions contained in the workingmemory 435 may cause the processor(s) 410 to perform one or moreprocedures of the methods described herein.

The terms “machine readable medium” and “computer readable medium,” asused herein, refer to any medium that participates in providing datathat causes a machine to operate in a specific fashion. In an embodimentimplemented using the computer system 400, various computer readablemedia may be involved in providing instructions/code to processor(s) 410for execution and/or may be used to store and/or carry suchinstructions/code (e.g., as signals). In many implementations, acomputer readable medium is a non-transitory, physical, and/or tangiblestorage medium. In some embodiments, a computer readable medium may takemany forms, including, but not limited to, non-volatile media, volatilemedia, or the like. Non-volatile media includes, for example, opticaland/or magnetic disks, such as the storage device(s) 425. Volatile mediaincludes, without limitation, dynamic memory, such as the working memory435. In some alternative embodiments, a computer readable medium maytake the form of transmission media, which includes, without limitation,coaxial cables, copper wire and fiber optics, including the wires thatcomprise the bus 405, as well as the various components of thecommunication subsystem 430 (and/or the media by which thecommunications subsystem 430 provides communication with other devices).In an alternative set of embodiments, transmission media can also takethe form of waves (including, without limitation, radio, acoustic,and/or light waves, such as those generated during radio-wave andinfra-red data communications).

Common forms of physical and/or tangible computer readable mediainclude, for example, a floppy disk, a flexible disk, a hard disk,magnetic tape, or any other magnetic medium, a CD-ROM, any other opticalmedium, punch cards, paper tape, any other physical medium with patternsof holes, a RAM, a PROM, and EPROM, a FLASH-EPROM, any other memory chipor cartridge, a carrier wave as described hereinafter, or any othermedium from which a computer can read instructions and/or code.

Various forms of computer readable media may be involved in carrying oneor more sequences of one or more instructions to the processor(s) 410for execution. Merely by way of example, the instructions may initiallybe carried on a magnetic disk and/or optical disc of a remote computer.A remote computer may load the instructions into its dynamic memory andsend the instructions as signals over a transmission medium to bereceived and/or executed by the computer system 400. These signals,which may be in the form of electromagnetic signals, acoustic signals,optical signals, and/or the like, are all examples of carrier waves onwhich instructions can be encoded, in accordance with variousembodiments of the invention.

The communications subsystem 430 (and/or components thereof) generallyreceives the signals, and the bus 405 then may carry the signals (and/orthe data, instructions, etc. carried by the signals) to the workingmemory 435, from which the processor(s) 410 retrieves and executes theinstructions. The instructions received by the working memory 435 mayoptionally be stored on a storage device 425 either before or afterexecution by the processor(s) 410.

FIG. 5 is a block diagram illustrating a networked system of computingsystems, which may be used in accordance with various embodiments. Thesystem 500 may include one or more user devices 505. A user device 505may include, merely by way of example, desktop computers, single-boardcomputers, tablet computers, laptop computers, handheld computers, andthe like, running an appropriate operating system. User devices 505 mayfurther include external devices, remote devices, servers, and/orworkstation computers running any of a variety of operating systems. Insome embodiments, the operating systems may includecommercially-available UNIX™ or UNIX-like operating systems. A userdevice 505 may also have any of a variety of applications, including oneor more applications configured to perform methods provided by variousembodiments, as well as one or more office applications, database clientand/or server applications, and/or web browser applications.Alternatively, a user device 505 may include any other electronicdevice, such as a thin-client computer, Internet-enabled mobiletelephone, and/or personal digital assistant, capable of communicatingvia a network (e.g., the network(s) 510 described below) and/or ofdisplaying and navigating web pages or other types of electronicdocuments. Although the exemplary system 500 is shown with two userdevices 505, any number of user devices 505 may be supported.

Certain embodiments operate in a networked environment, which caninclude a network(s) 510. The network(s) 510 can be any type of networkfamiliar to those skilled in the art that can support datacommunications, such as an access network, and using any of a variety ofcommercially-available (and/or free or proprietary) protocols,including, without limitation, MQTT, CoAP, AMQP, STOMP, DDS, SCADA,XMPP, custom middleware agents, Modbus, BACnet, NCTIP 513, Bluetooth,Zigbee/Z-wave, TCP/IP, SNA™ IPX™ and the like. Merely by way of example,the network(s) 510 can each include a local area network (“LAN”),including, without limitation, a fiber network, an Ethernet network, aToken-Ring™ network and/or the like; a wide-area network (“WAN”); awireless wide area network (“WWAN”); a virtual network, such as avirtual private network (“VPN”); the Internet; an intranet; an extranet;a public switched telephone network (“PSTN”); an infra-red network; awireless network, including, without limitation, a network operatingunder any of the IEEE 802.11 suite of protocols, the Bluetooth™ protocolknown in the art, and/or any other wireless protocol; and/or anycombination of these and/or other networks. In a particular embodiment,the network may include an access network of the service provider (e.g.,an Internet service provider (“ISP”)). In another embodiment, thenetwork may include a core network of the service provider, managementnetwork, and/or the Internet.

Embodiments can also include one or more server computers 515. Each ofthe server computers 515 may be configured with an operating system,including, without limitation, any of those discussed above, as well asany commercially (or freely) available server operating systems. Each ofthe servers 515 may also be running one or more applications, which canbe configured to provide services to one or more clients 505 and/orother servers 515.

Merely by way of example, one of the servers 515 may be a data server, aweb server, authentication server (e.g., TACACS, RADIUS, etc.), a cloudcomputing device(s), or the like, as described above. The data servermay include (or be in communication with) a web server, which can beused, merely by way of example, to process requests for web pages orother electronic documents from user computers 505. The web server canalso run a variety of server applications, including HTTP servers, FTPservers, CGI servers, database servers, Java servers, and the like. Insome embodiments of the invention, the web server may be configured toserve web pages that can be operated within a web browser on one or moreof the user computers 505 to perform methods of the invention.

The server computers 515, in some embodiments, may include one or moreapplication servers, which can be configured with one or moreapplications, programs, web-based services, or other network resourcesaccessible by a client. Merely by way of example, the server(s) 515 canbe one or more general purpose computers capable of executing programsor scripts in response to the user computers 505 and/or other servers515, including, without limitation, web applications (which may, in somecases, be configured to perform methods provided by variousembodiments). Merely by way of example, a web application can beimplemented as one or more scripts or programs written in any suitableprogramming language, such as Java™, C, C #™ or C++, and/or anyscripting language, such as Perl, Python, or TCL, as well ascombinations of any programming and/or scripting languages. Theapplication server(s) can also include database servers, including,without limitation, those commercially available from Oracle™,Microsoft™, Sybase™ IBM™, and the like, which can process requests fromclients (including, depending on the configuration, dedicated databaseclients, API clients, web browsers, etc.) running on a user computer,user device, or customer device 505 and/or another server 515.

In accordance with further embodiments, one or more servers 515 canfunction as a file server and/or can include one or more of the files(e.g., application code, data files, etc.) necessary to implementvarious disclosed methods, incorporated by an application running on auser computer 505 and/or another server 515. Alternatively, as thoseskilled in the art will appreciate, a file server can include allnecessary files, allowing such an application to be invoked remotely bya user computer, user device, or customer device 505 and/or server 515.

It should be noted that the functions described with respect to variousservers herein (e.g., application server, database server, web server,file server, etc.) can be performed by a single server and/or aplurality of specialized servers, depending on implementation-specificneeds and parameters.

In certain embodiments, the system can include one or more databases 520a-520 n (collectively, “databases 520”). The location of each of thedatabases 520 is discretionary: merely by way of example, a database 520a may reside on a storage medium local to (and/or resident in) a server515 a (or alternatively, user device 505). Alternatively, a database 520n can be remote so long as it can be in communication (e.g., via thenetwork 510) with one or more of these. In a particular set ofembodiments, a database 520 can reside in a storage-area network (“SAN”)familiar to those skilled in the art. In one set of embodiments, thedatabase 520 may be relational and/or non-relational database configuredto host one or more data lakes collected from various data sources. Thedatabase may be controlled and/or maintained by a database server.

The system 500 may further include a first host (Host A) 525 a,comprising an orchestrator 530 a, pod 535, one or more containers 540a-540 n, and database 545 a. The system 500 may further include a secondhost (Host B) 525 b, comprising an orchestrator 530 b, pod 535 b, andone or more containers 540 b-540 m.

While certain features and aspects have been described with respect toexemplary embodiments, one skilled in the art will recognize thatnumerous modifications are possible. For example, the methods andprocesses described herein may be implemented using hardware components,software components, and/or any combination thereof. Further, whilevarious methods and processes described herein may be described withrespect to certain structural and/or functional components for ease ofdescription, methods provided by various embodiments are not limited toany single structural and/or functional architecture but instead can beimplemented on any suitable hardware, firmware and/or softwareconfiguration. Similarly, while certain functionality is ascribed tocertain system components, unless the context dictates otherwise, thisfunctionality can be distributed among various other system componentsin accordance with the several embodiments.

Moreover, while the procedures of the methods and processes describedherein are described in sequentially for ease of description, unless thecontext dictates otherwise, various procedures may be reordered, added,and/or omitted in accordance with various embodiments. Moreover, theprocedures described with respect to one method or process may beincorporated within other described methods or processes; likewise,system components described according to a specific structuralarchitecture and/or with respect to one system may be organized inalternative structural architectures and/or incorporated within otherdescribed systems. Hence, while various embodiments are describedwith—or without—certain features for ease of description and toillustrate exemplary aspects of those embodiments, the variouscomponents and/or features described herein with respect to oneembodiment can be substituted, added and/or subtracted from among otherdescribed embodiments, unless the context dictates otherwise.Consequently, although several exemplary embodiments are describedabove, it will be appreciated that the invention is intended to coverall modifications and equivalents within the scope of the followingclaims.

What is claimed is:
 1. A system comprising: a host machine configured torun a container orchestrator, the host machine comprising: a databasecomprising a multi-dimensional data store configured to define a networkdata model, wherein the network data model is configured to support oneor more network data attributes, the database further comprising anetwork configuration; a processor; and non-transitory computer readablemedia comprising instructions executable by the processor to: obtain,via the database, the network configuration; spawn a container accordingto the network configuration, wherein the container is configured, basedon the network configuration, to be coupled to a network overlay via anetwork interface; receive, via the network interface, incoming dataassociated with the container, the incoming data having attached one ormore attached network data attributes; identify, via the database, theattached one or more network data attributes attached to the incomingdata as one or more network data attributes of the network data model;attach one or more network data attributes associated with outgoingdata, wherein outgoing data is transmitted by the container and the oneor more network data attributes attached to the outgoing data are based,at least in part, on the container; and transmit, via the networkinterface, a memory pointer associated with a memory address of theoutgoing data.
 2. The system of claim 1, wherein the instructions arefurther executable by the processor to: transmit, via the networkinterface, the outgoing data.
 3. The system of claim 1, wherein theinstructions are further executable by the processor to: add, via thedatabase, an additional attribute to the one or more network dataattributes of the network data model.
 4. The system of claim 1, whereinthe instructions are further executable by the processor to: remove, viathe database, at least one of the one or more network data attributesfrom the network data model.
 5. The system of claim 1, wherein theinstructions are further executable by the processor to: prioritizeforwarding of the incoming data based, at least in part, on the one ormore attached network data attributes.
 6. The system of claim 1, whereinthe one or more network data attributes includes at least a quality ofservice, security, routing, switching, proof of origin, proof ofdelivery, and packet behavior monitoring associated with data receivedand transmitted by the container.
 7. An apparatus comprising: aprocessor; and non-transitory computer readable media comprisinginstructions executable by the processor to: obtain, via a database, anetwork configuration; spawn a container according to the networkconfiguration, wherein the container is configured, based on the networkconfiguration, to be coupled to a network overlay via a networkinterface; receive, via the network interface, incoming data associatedwith the container, the incoming data having attached one or moreattached network data attributes; identify, via the database, theattached one or more network data attributes attached to the incomingdata as one or more network data attributes of a network data model;attach one or more network data attributes associated with outgoingdata, wherein outgoing data is transmitted by the container and the oneor more network data attributes attached to the outgoing data are based,at least in part, on the container; and transmit, via the networkinterface, a memory pointer associated with a memory address of theoutgoing data, wherein the database comprises a multi-dimensional datastore configured to define a network data model, wherein the networkdata model is configured to support one or more network data attributes.8. The apparatus of claim 7, wherein the instructions are furtherexecutable by the processor to: transmit, via the network interface, theoutgoing data.
 9. The apparatus of claim 7, wherein the instructions arefurther executable by the processor to: add, via the database, anadditional attribute to the one or more network data attributes of thenetwork data model.
 10. The apparatus of claim 7, wherein theinstructions are further executable by the processor to: remove, via thedatabase, at least one of the one or more network data attributes fromthe network data model.
 11. The apparatus of claim 7, wherein theinstructions are further executable by the processor to: prioritizeforwarding of the incoming data based, at least in part, on the one ormore attached network data attributes.
 12. A method comprising:defining, at an edge database, a network data model configured tosupport one or more network data attributes; providing, via the edgedatabase, a network configuration; obtaining, via an orchestrator, thenetwork configuration from the edge database; spawning, via theorchestrator, a container according to the network configuration,wherein spawning the container further comprises coupling the container,based on the network configuration, to a network overlay via a networkinterface; receiving, via the network interface, incoming dataassociated with the container, the incoming data having attached one ormore attached network data attributes; identifying, via the database,the attached one or more network data attributes attached to theincoming data as one or more network data attributes of the network datamodel; attaching, via the orchestrator, one or more network dataattributes associated with outgoing data, wherein outgoing data istransmitted by the container and the one or more network data attributesattached to the outgoing data are based, at least in part, on thecontainer; and transmitting, via the network interface, a memory pointerassociated with a memory location of the outgoing data.
 13. The methodof claim 12 further comprising: add, via the edge database, anadditional attribute to the one or more network data attributes of thenetwork data model; and removing, via the edge database, at least one ofthe one or more network data attributes from the network data model. 14.The method of claim 12 further comprising: prioritizing forwarding ofthe incoming data based, at least in part, on the one or more attachednetwork data attributes.